The full call for papers is here.

EMAS 2018 aims to gather researchers and practitioners working in the domains of agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, machine learning, and AI in general to present and discuss their research and emerging results in MAS engineering.

The topics of interest include, but are not limited to:

Programming frameworks, languages, models and abstractions for all aspects of MAS

• cognitive models and architectures, such as the BDI
• agent-oriented programming concepts and abstractions
• patterns and idioms for agent-oriented programming
• social, organizational and normative aspects
• agent coordination
• agent communication, trust, commitments and reputation
• contracts, negotiation policies
• mobile agents
• learning agents
• applying agent-oriented programming to real-world applications

Formal methods and declarative technologies for specification, verification and engineering of MAS

• semantics for multi-agent programming languages
• modal and epistemic logics for agent modeling
• game theory and mechanism design for multi-agent systems
• semantics of agent communication
• (constraint) logic programming approaches to agent systems
• distributed constraint satisfaction
• declarative approaches to engineering agent-based systems
• high-level executable multi-agent specification languages
• algorithms for MAS programming (e.g., coordination, cooperation, negotiation)

MAS software engineering methodologies and techniques, and development concerns

• software architectures for multi-agent systems
• qualities and tradeoffs of agent-based architectures
• goal-oriented designreusable design knowledge: patterns and reference architectures
• modeling languages for agents and MAS
• testing of agent-based software
• fault tolerance and load balancing for mobile MAS
• safety and security for mobile MAS deployment
• autonomy vs. dependability and robustness
• security and trust in multi-agent systems

Interoperability and integration

• interoperability and standards for MAS
• standardization efforts for multi-agent systems
• integration of multi-agent and mainstream technologies
• integration of agents with legacy systems
• middleware integration of agent-based software
• implications of introducing agent-based solutions on the development organization

Tools and testbeds

• benchmarks and testbeds for comparing multi-agent programming languages and tools
• CASE tools to support agent-oriented software development in practice
• agent/environment/interaction/organization development tools and platforms
• generic tools and infrastructures for multi-agent programming
• coordination infrastructures for multi-agent systems

Using MAS techniques for

• engineering self-organizing or self-adaptive systems
• systems of systems engineering
• service-oriented computing and semantic web
• multi-agent based simulation
• social engineering
• concurrent and distributed systems
• grid computing
• pervasive computing
• cloud and edge computing
• cyber-physical systems
• big data applications
• internet of things

Empirical studies and (industrial) experience reports on engineering MAS applications for domains

• e-health
• e-commerce
• e-learning
• socio-technical systems
• social networks
• (human-)robot systems

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